Data driven identification of networks of dynamic systems
This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions....
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2022
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| 100 | 1 | |a Verhaegen, M. | |
| 245 | 1 | 0 | |a Data driven identification of networks of dynamic systems |c Michel Verhaegen, Chengpu Yu, Baptiste Sinquin |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2022 | |
| 300 | |a 1 Online-Ressource (xviii, 267 Seiten) | ||
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| 520 | |a This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in system identification for networked systems. | ||
| 700 | 1 | |a Sinquin, Baptiste |d 1991- | |
| 700 | 1 | |a Yu, Chengpu |d 1984- | |
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| id | ZDB-20-CTM-CR9781009026338 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-18T12:04:35Z |
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| isbn | 9781009026338 |
| language | English |
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| publisher | Cambridge University Press |
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| spelling | Verhaegen, M. Data driven identification of networks of dynamic systems Michel Verhaegen, Chengpu Yu, Baptiste Sinquin Cambridge Cambridge University Press 2022 1 Online-Ressource (xviii, 267 Seiten) txt c cr This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in system identification for networked systems. Sinquin, Baptiste 1991- Yu, Chengpu 1984- Erscheint auch als Druck-Ausgabe 9781316515709 TUM01 ZDB-20-CTM TUM_PDA_CTM https://www.cambridge.org/core/product/identifier/9781009026338/type/BOOK Volltext |
| spellingShingle | Verhaegen, M. Data driven identification of networks of dynamic systems |
| title | Data driven identification of networks of dynamic systems |
| title_auth | Data driven identification of networks of dynamic systems |
| title_exact_search | Data driven identification of networks of dynamic systems |
| title_full | Data driven identification of networks of dynamic systems Michel Verhaegen, Chengpu Yu, Baptiste Sinquin |
| title_fullStr | Data driven identification of networks of dynamic systems Michel Verhaegen, Chengpu Yu, Baptiste Sinquin |
| title_full_unstemmed | Data driven identification of networks of dynamic systems Michel Verhaegen, Chengpu Yu, Baptiste Sinquin |
| title_short | Data driven identification of networks of dynamic systems |
| title_sort | data driven identification of networks of dynamic systems |
| url | https://www.cambridge.org/core/product/identifier/9781009026338/type/BOOK |
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